Job Title/Titre d'emploi

Technical Architect - Decommissioning Project

Vacancy No / Numéro de poste vacant

VN9557

Company Name/Nom de l'entreprise

Compugen Inc

Work Location

Calgary, AB

Pay Range / Rémunération

To be discussed during the recruitment process

Pipeline Posting

No

Job Details/Détails du poste

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About Compugen

Compugen is Canada's largest privately-owned Technology Ally. To innovate industries, transform businesses, connect communities, and drive meaningful change, we must think bigger, reach broader, and act bolder. Through knowledge, curiosity, and collaboration, Compugen helps organizations delivering experience by design. This is what it means to be human-centered and technology-enabled.

Dreaming, designing, and delivering isn't just a mantra for us — it's a way of life. We believe that technology is the conduit, but our people – they are the connection that truly makes the magic happen!

Our Culture

We are a human-centered culture where we prioritize your well-being and are invested in helping you reach your fullest potential. We're not only focused on achieving our goals — we're dedicated to helping you achieve yours.

If you're relentlessly curious, driven to make a difference, and collaborative at the core, then you belong with us.

Position Overview:

The Technical Architect will be responsible for enabling the ingestion, transformation, and delivery of business-consumable data as part of the project decommissioning initiative.
This role is critical to ensuring that data extracted from the project application is transformed into usable, governed datasets within the enterprise data platform or equivalent architecture supporting business reporting and operational continuity following system shutdown.

Key Responsibilities:

a) Enabling end-to-end data ingestion and transformation pipeline for project application data
b) Delivering business-ready datasets to meet reporting and operational requirements post-application shutdown
c) Supporting or establishing medallion data architecture (bronze silver -+ gold laye
d) Mitigating risks associated with data usability and reporting readiness, which is identified as the highest risk area in the program
e) Designs and delivers end-to-end data products in Microsoft Fabric using repeatable patterns that support key business flows
f) Builds and optimizes Fabric Data Factory pipelines and notebook-based, Spark Job based transformations to populate OneLake/Lakehouse and/or Warehouse layers an downstream data marts
g) Defines technical requirements and delivers solutions that meet service level agreements through efficient modeling, partitioning, caching, and query optimization across Fabric compute engines
h) Implements monitoring and observability for pipelines and models (refreshes, failures data drift) and proactively resolves performance, reliability, and cost and/or capacity issues
i) Designs, integrates, and documents technical components (data contracts, lineage, definitions) for seamless data extraction, governance, and analysis
j) Presents insights on data and its quality via presentations, and visualizations
k) Defines and develops automation within Microsoft Fabric
l) Supports the corporation's broader technical and operational requirements by adopting best practices in our data systems
m) Works in a team environment, interacting with multiple groups daily, within the department, as well as throughout the corporation

Skills & Qualifications:

Experience

1. Deep hands-on expertise with Microsoft Fabric workloads: Data Factory (pipelines), Lakehouse, Warehouse, Real-Time Analytics, Semantic Models, and (where applicable) Data Activator.

2. Strong understanding of OneLake concepts, shortcuts, and Lakehouse architecture; ability to design scalable medallion-style (bronze/silver/gold) data models and performant analytics solutions.

3. Strong knowledge of Python and Spark; ability to build and optimize notebooks/jobs in Fabric (or Databricks) for ELT/ETL, data quality, and advanced transformations.

4. Working knowledge of governance and administration in Fabric: workspaces, domains, sensitivity labels, RLS/OLS, and capacity management; understanding of Purview integration.

5. Knowledge of analytics engineering practices: metric definitions, semantic layer design, data quality expectations, and documentation for trusted self-serve BI.

6. Strong Power BI expertise, including Semantic Models, DAX fundamentals, and performance tuning.

7. Experience ingesting batch and streaming/event data (e.g., Event Hubs, Kafka, logs) and shaping it for analytics using Fabric pipelines, notebooks, and Real-Time Analytics.

8. Experience performing root cause analysis on data pipelines, models, and reports to answer business questions, improve reliability, and reduce time-to-insight.

9. Working knowledge of DevOps/DataOps and Git; experience with Azure DevOps deployment pipelines, CI/CD automation, and environment promotion.

10. Working knowledge of Azure fundamentals (identity, networking, security) and Entra ID; familiarity with private endpoints and secure data access patterns.

11. Experience integrating enterprise data sources (SQL Server, APIs, files, SaaS) and designing robust ingestion patterns (incremental loads, CDC, scheduling, monitoring).

12. Minimum of 4+ years of advanced Python development (performance tuning).

Equity Statement

At Compugen, we are committed to diversity, equity and inclusion. We actively recruit from all groups, including women, Indigenous people, persons with disabilities and members of visible minorities. We recognize the importance of removing barriers to participation and provide accommodation upon request to all applicants throughout the recruitment process. If you require an accommodation, our People & Culture representative will work with you to meet your needs in a confidential and respectful manner. We believe everyone deserves a seat at the table-and we are taking deliberate action to make this a reality.

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